Eila Sonkajärvi

487 total citations
26 papers, 293 citations indexed

About

Eila Sonkajärvi is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eila Sonkajärvi has authored 26 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 9 papers in Neurology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eila Sonkajärvi's work include EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (7 papers) and CNS Lymphoma Diagnosis and Treatment (6 papers). Eila Sonkajärvi is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (7 papers) and CNS Lymphoma Diagnosis and Treatment (6 papers). Eila Sonkajärvi collaborates with scholars based in Finland, Estonia and Czechia. Eila Sonkajärvi's co-authors include V. Jäntti, Seppo Alahuhta, Kalervo Suominen, Osmo Tervonen, Vesa Kiviniemi, Tapio Seppänen, Outi Kuittinen, Seppo Rytky, Taina Turpeenniemi‐Hujanen and Jaakko Niinimäki and has published in prestigious journals such as PLoS ONE, NeuroImage and Human Brain Mapping.

In The Last Decade

Eila Sonkajärvi

24 papers receiving 281 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eila Sonkajärvi Finland 11 150 75 57 52 47 26 293
Ioannis G. Panourias Greece 14 54 0.4× 78 1.0× 31 0.5× 36 0.7× 44 0.9× 32 421
Claire Nicholson United Kingdom 13 96 0.6× 207 2.8× 23 0.4× 64 1.2× 17 0.4× 21 503
Loı̈c Rambaud France 5 214 1.4× 23 0.3× 26 0.5× 70 1.3× 53 1.1× 8 438
Masatoshi Takagaki Japan 9 31 0.2× 83 1.1× 43 0.8× 38 0.7× 7 0.1× 29 336
Nobuyoshi Kaito Japan 11 66 0.4× 52 0.7× 23 0.4× 28 0.5× 7 0.1× 19 380
Hyeong Cheol Moon South Korea 13 50 0.3× 122 1.6× 55 1.0× 29 0.6× 8 0.2× 30 317
Walter Haindl Australia 8 105 0.7× 36 0.5× 93 1.6× 84 1.6× 20 0.4× 20 319
Nebras M. Warsi Canada 12 76 0.5× 90 1.2× 11 0.2× 105 2.0× 5 0.1× 28 348
Sweet Wh 9 81 0.5× 84 1.1× 71 1.2× 34 0.7× 80 1.7× 26 452
Katsuyuki Obara Japan 10 71 0.5× 80 1.1× 85 1.5× 112 2.2× 6 0.1× 28 399

Countries citing papers authored by Eila Sonkajärvi

Since Specialization
Citations

This map shows the geographic impact of Eila Sonkajärvi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eila Sonkajärvi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eila Sonkajärvi more than expected).

Fields of papers citing papers by Eila Sonkajärvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eila Sonkajärvi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eila Sonkajärvi. The network helps show where Eila Sonkajärvi may publish in the future.

Co-authorship network of co-authors of Eila Sonkajärvi

This figure shows the co-authorship network connecting the top 25 collaborators of Eila Sonkajärvi. A scholar is included among the top collaborators of Eila Sonkajärvi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eila Sonkajärvi. Eila Sonkajärvi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bode, Michaela K., Hanne Kuitunen, Juha Nikkinen, et al.. (2025). Vasomotor fluctuations are increased in primary central nervous system lymphoma: a case–control study with fast functional MRI. Brain Communications. 7(4). fcaf262–fcaf262.
2.
Kuitunen, Hanne, Pekka Jäkälä, Eila Sonkajärvi, et al.. (2022). Primary central nervous system lymphoma high incidence and poor survival in Finnish population-based analysis. BMC Cancer. 22(1). 236–236. 14 indexed citations
3.
Jäntti, V., et al.. (2018). Electroencephalographic signals during anesthesia recorded from surface and depth electrodes. International Journal of Radiation Biology. 94(10). 934–943. 2 indexed citations
4.
Kuitunen, Hanne, et al.. (2018). Case Report: Chemotherapy in Conjunction With Blood–Brain Barrier Disruption for a Patient With Germ Cell Tumor With Multiple Brain Metastases. Clinical Genitourinary Cancer. 16(5). e993–e996. 5 indexed citations
5.
Sonkajärvi, Eila, Seppo Rytky, Seppo Alahuhta, et al.. (2018). Epileptiform and periodic EEG activities induced by rapid sevoflurane anaesthesia induction. Clinical Neurophysiology. 129(3). 638–645. 11 indexed citations
6.
Kiviniemi, Vesa, Vesa Korhonen, Jukka Kortelainen, et al.. (2017). Real-time monitoring of human blood-brain barrier disruption. PLoS ONE. 12(3). e0174072–e0174072. 39 indexed citations
7.
Lipping, Tarmo, et al.. (2016). Synchronization of brain activity during induction of propofol anesthesia: Comparison of methods. PubMed. 2016. 5505–5508. 2 indexed citations
8.
9.
Sonkajärvi, Eila. (2015). The brain's electrical activity in deep anaesthesia : with special reference to EEG burst-suppression. 2 indexed citations
10.
Lipping, Tarmo, et al.. (2012). Relationship between approximate entropy and visual inspection of irregularity in the EEG signal, a comparison with spectral entropy. British Journal of Anaesthesia. 109(6). 928–934. 28 indexed citations
11.
Kortelainen, Jukka, Kalervo Suominen, Jaakko Niinimäki, et al.. (2011). A characteristic time sequence of epileptic activity in EEG during dynamic penicillin-induced focal epilepsy—A preliminary study. Seizure. 20(7). 513–519. 11 indexed citations
12.
Jäntti, V., et al.. (2010). Recording EEG burst suppression in sevoflurane anaesthesia with depth electrodes. European Journal of Anaesthesiology. 27. 57–57. 1 indexed citations
13.
Kortelainen, Jukka, Kalervo Suominen, Eila Sonkajärvi, et al.. (2010). Automatic classification of penicillin-induced epileptic EEG spikes. PubMed. 2010. 6674–6677. 5 indexed citations
14.
Kortelainen, Jukka, et al.. (2010). Coherence in depth electrodes during induction of deep anesthesia. PubMed. 2010. 5963–5966. 1 indexed citations
15.
Jäntti, V., Seppo Rytky, Eila Sonkajärvi, et al.. (2008). MO09 Recording EEG during anesthesia with depth electrodes. Clinical Neurophysiology. 119. S7–S7. 1 indexed citations
16.
Sonkajärvi, Eila, et al.. (2007). Burst suppression during propofol anaesthesia recorded from scalp and subthalamic electrodes: report of three cases. Acta Anaesthesiologica Scandinavica. 52(2). 274–279. 11 indexed citations
17.
Suominen, Kalervo, Jaakko Niinimäki, Eila Sonkajärvi, et al.. (2005). BOLD signal increase preceeds EEG spike activity—a dynamic penicillin induced focal epilepsy in deep anesthesia. NeuroImage. 27(4). 715–724. 53 indexed citations
18.
Suominen, Kalervo, Eila Sonkajärvi, Timo Salomäki, et al.. (2004). BOLD-contrast functional MRI signal changes related to intermittent rhythmic delta activity in EEG during voluntary hyperventilation—simultaneous EEG and fMRI study. NeuroImage. 22(1). 222–231. 21 indexed citations
19.
Sonkajärvi, Eila, et al.. (2003). [EEG findings in post-ischemic myoclonus].. PubMed. 119(18). 1775–8. 1 indexed citations
20.
Jäntti, V., et al.. (1998). Single-sweep cortical somatosensory evoked potentials: N20 and evoked bursts in sevoflurane anaesthesia. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section. 108(3). 320–324. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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